Alnylam Pharmaceuticals (ALNY) Interest Expenses (2020 - 2026)
Alnylam Pharmaceuticals (ALNY) reported Interest Expenses of $82.05 million for Q2 2026, up 33.5% from $61.46 million a year earlier and up 18.4% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alnylam Pharmaceuticals' Interest Expenses came in at $261.14 million, up 35.2% year-over-year; for FY2025, it was $252.63 million, up 78.1% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By year, Interest Expenses came in at $141.86 million in FY2024 (+17.0%), $121.22 million in FY2023 (-22.3%), $155.97 million in FY2022 (+9.1%) and $143.02 million in FY2021 (+69.3%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q2 2020.
- Year over year, Interest Expenses has now increased in each of the last 11 quarters, with growth averaging 41.9% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2025 (growth of 84.8%); the low point was Q1 2023 (a decline of 31.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.29 million (Q1 2026), $65.4 million (Q4 2025) and $44.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | - |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | 82.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.05 Mn |
| Mar 31, 2026 | 69.29 Mn |
| Dec 31, 2025 | 65.40 Mn |
| Sep 30, 2025 | 44.40 Mn |
| Jun 30, 2025 | 61.46 Mn |
| Mar 31, 2025 | 58.31 Mn |
| Dec 31, 2024 | 38.97 Mn |
| Sep 30, 2024 | 34.38 Mn |
| Jun 30, 2024 | 33.26 Mn |
| Mar 31, 2024 | 35.25 Mn |
| Dec 31, 2023 | 31.34 Mn |
| Sep 30, 2023 | 30.89 Mn |
| Jun 30, 2023 | 30.04 Mn |
| Mar 31, 2023 | 28.96 Mn |
| Dec 31, 2022 | 29.91 Mn |
| Sep 30, 2022 | 41.08 Mn |
| Jun 30, 2022 | 42.61 Mn |
| Mar 31, 2022 | 42.36 Mn |
| Dec 31, 2021 | 36.82 Mn |
| Sep 30, 2021 | 40.27 Mn |
Alnylam Pharmaceuticals Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ALNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();